Data → Machine Learning & AI
Neural Network
A machine learning model inspired by networks of connected units that transform inputs through layers of learned weights.
Motivation
Neural networks solve the problem of learning complex patterns from examples when hand-written rules are too brittle or too hard to define.
Where it fits
Neural networks belong to machine learning and are the foundation of deep learning.
Mental model
A neural network transforms inputs through layers of weighted computations. Training adjusts those weights to reduce error on examples.
Common mistakes
- Treating a neural network as magic instead of a learned function.
- Ignoring data quality and evaluation.
- Assuming more layers always means a better model.